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Volumn 1, Issue , 2011, Pages 51-60

Extraction of function features for an automatic configuration of particle swarm optimization

Author keywords

Machine learning; Objective function feature computation; Parameter configuration; Particle swarm optimization; Swarm intelligence

Indexed keywords

AUTOMATIC CONFIGURATION; OBJECTIVE FUNCTIONS; OPTIMIZATION PROCESS; PARAMETER CONFIGURATION; PARAMETER SET; PARAMETER SETTING; PARTICLE SWARM; SWARM INTELLIGENCE; TEST FUNCTIONS;

EID: 79960145037     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (16)
  • 2
    • 34548720461 scopus 로고    scopus 로고
    • Defining a standard for particle swarm optimization
    • Bratton, D. and Kennedy, J. (2007). Defining a standard for particle swarm optimization. Swarm Intelligence Symposium, pages 120-127.
    • (2007) Swarm Intelligence Symposium , pp. 120-127
    • Bratton, D.1    Kennedy, J.2
  • 3
    • 0036464756 scopus 로고    scopus 로고
    • The particle swarm - Explosion, stability, and convergence in a multidimensional complex space
    • Clerc, M. and Kennedy, J. (2002). The particle swarm - explosion, stability, and convergence in a multidimensional complex space. Evolutionary Computation, IEEE Transactions on, 6(1):58-73.
    • (2002) Evolutionary Computation, IEEE Transactions on , vol.6 , Issue.1 , pp. 58-73
    • Clerc, M.1    Kennedy, J.2
  • 13
    • 0037475094 scopus 로고    scopus 로고
    • The particle swarm optimization algorithm: Convergence analysis and parameter selection
    • Trelea, I. C. (2003). The particle swarm optimization algorithm: convergence analysis and parameter selection. Inf. Process. Lett., 85(6):317-325.
    • (2003) Inf. Process. Lett. , vol.85 , Issue.6 , pp. 317-325
    • Trelea, I.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.